SGA Tools Flashcards
Describe
The genotype to phenotype challenge
Genotype: the actual alleles present in an individual
Phenotype: observable characteristics of an individual
That translation is complicated due to genetic buffering
Why use yeast as a genetic model organism?
- Conserved eukaryotic biology and gene function
- Non-pathogenic
- Rapid growth rate
- Amenable to genetic manipulation due to efficient transformation and homologous recombination
Describe
Essential gene function of yeast
- Budding yeast contains 5.8k genes
- 20% genes essential for viability
Describe
Synthetic viability
- If two genes act in parallel pathways and either one is disrupted, there is no effect on viability because the second gene buffers its loss
2 disruptions would be lethal
Define
Genetic interaction
Unexpected outcome resulting from a combination of individual mutations
= Observed - Expected double mutant fitness
Describe
Systematic chemical-genetic profiling
- Identifying the molecular targets of the drug, testing it in various genetic backgrounds
- Compare the drug effects to effects of genetic perturbation to infer the drug’s mechanism of action and potential targets.
Describe
Complex genetic interactions
Phenotypes in metazoans and simple eukaryotes influenced by complex genetic interactions involving larger sets of genes
Describe
Scoring genetic interactions
- Grow an ordered array of strains on agar plates as individual colonies
- Score the colonies’ size changes in response to perturbation
Statistical analyses and further processing required because of positional effects on colonies
How is SGA Tools useful in scoring genetic interactions?
- Outlines a series of steps that allows the quantifying of colony sizes, correction of systematic biases and calculation of a fitness score
- Can also view distribution of scores, highlight genes w strongest signal and perform GO enrichment analysis
Describe
The SGA analysis pipeline
- Ordered array of colonies imaged
- Colonies segmented to produce raw size measurements
- Raw measurements normalized to correct systematic biases
- Genetic interactions scored using multiplicative model
Scores can further be visualized and selected genes tested for enrichment in GO terms
Describe
The correction of systematic biases
- Differences in growth conditions like duration of incubation
- Differences in nutrient availability, such as location of colony on plate, uneven preparation surfaces and neighboring mutant strain fitness